Categories:

Description:

About the book: In Computer Sciences there is currently a gold rush
mood due to a new field called "Deep Learning". But what is Deep
Learning? This book is an introduction to Neural Networks and the
most important Deep Learning model - the Convolutional Neural
Network model including a description of tricks that can be used to
train such models more quickly. We start with the biological role
model: the Neuron. About 86.000.000.000 of these simple processing
elements are in your brain! And they all work in parallel! We
discuss how to model the operation of a biological neuron with
technical neuron models and then consider the first simple
single-layer network of technical neurons. We then introduce the
Multi-Layer Perceptron (MLP) and the Convolutional Neural Network
(CNN) model which uses the MLP at its end. At the end of the book
we discuss promising new directions for the field of Deep Learning.
A famous physicist once said: "What I cannot create, I do not
understand". For this, the book is full of examples of how to
program all models discussed in Python and TensorFlow - Today, the
most important Deep Learning library. About the author: Prof.
Dr.-Ing. Juergen Brauer is a professor for Sensor Data Processing
and Programming at the University of Applied Sciences Kempten in
Germany where he holds a "Deep Learning" and other machine learning
related lectures for Computer Science and Advanced Driver
Assistance Systems students. His personal experience tells him:
"What I cannot program, I do not understand".